Skip to content

Latest commit

 

History

History
60 lines (51 loc) · 2.65 KB

NEWS.md

File metadata and controls

60 lines (51 loc) · 2.65 KB

shinystan news

Version 2.2.0

  • Add optional argument pars to the as.shinystan method for stanfit objects, allowing a subset of parameters to be selected for inclusion in the resulting shinystan object.
  • Introduce drop_parameters function for removing parameters from a shinystan object (useful for very large objects when you only want to look at a subset of parameters).
  • Add rstanarm to Suggests (in the DESCRIPTION file) so rstanarm::pp_check can be called.
  • Allow selecting yrep from global environment for PPcheck
  • Change as.shinystan to S4 generic with methods
  • Add rsconnect to Imports in DESCRIPTION.
  • Rename some of the slots in shinystan objects. The update_sso function can be used to ensure that old shinystan objects have an internal structure compatible with this release.
  • Improve line coverage of api tests

Version 2.1.0

  • Compatibility with recent ggplot2 update
  • Select parameters via regular expressions in parameters plot ('Estimate' page)
  • Fix error when selecting an entire parameter group in parameters plot ('Estimate' page)

Version 2.0.1

  • Fixes small bugs and typos
  • Adds support for stanreg objects
  • Moves ggplot2 from Depends to Imports

Version 2.0.0 (major update, initial CRAN release)

Version 2.0.0 has a new look, a new(ish) name, and a lot of new functionality. Many bugs have also been fixed (see GitHub issue tracker).

Available on CRAN.

New names

  • The name of the R package is shinystan and the app/GUI is ShinyStan.

Deploy ShinyStan apps to shinyapps.io (RStudio's ShinyApps service)

  • The deploy_shinystan function lets you easily deploy ShinyStan apps to RStudio's shinyapps.io for any of your models. Each of your apps (i.e. each of your models) will have a unique url.

Some of the new features in ShinyStan app

  • Rebranding (new look to reflect changes to Stan logo and website)
  • HMC/NUTS diagnostic plots ('Diagnose' page, 'HMC/NUTS (plots)' tab)
  • Specify transformations (e.g. log, logit, sqrt, etc.) for density, histogram, bivariate, trivariate plots (on 'Explore' page) and HMC/NUTS diagnostics plots.
  • Many plots can now also be saved as pdf
  • Bivariate scatterplot plot also shows divergent transitions and max treedepth saturation (on 'Explore' page)
  • More detailed glossary entries
  • (Experimental) Introduce basic graphical posterior predictive checking ('Diagnose' page, 'PPcheck' tab) for limited class of models
  • Option to show partial autocorrelations ('Diagnose' page, 'Autocorrelation' tab)
  • Better customization of of posterior summary statistics table
  • Many improvements to GUI design